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Spatio-temporal Representation for Long-term Anticipation of Human Presence in Service Robotics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00334742" target="_blank" >RIV/68407700:21230/19:00334742 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8793534" target="_blank" >https://ieeexplore.ieee.org/document/8793534</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICRA.2019.8793534" target="_blank" >10.1109/ICRA.2019.8793534</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Spatio-temporal Representation for Long-term Anticipation of Human Presence in Service Robotics

  • Original language description

    We propose an efficient spatio-temporal model for mobile autonomous robots operating in human populated environments. Our method aims to model periodic temporal patterns of people presence, which are based on peoples' routines and habits. The core idea is to project the time onto a set of wrapped dimensions that represent the periodicities of people presence. Extending a 2D spatial model with this multidimensional representation of time results in a memory efficient spatio-temporal model. This model is capable of long-term predictions of human presence, allowing mobile robots to schedule their services better and to plan their paths. The experimental evaluation, performed over datasets gathered by a robot over a period of several weeks, indicates that the proposed method achieves more accurate predictions than the previous state of the art used in robotics.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of 2019 International Conference on Robotics and Automation

  • ISBN

    978-1-5386-6026-3

  • ISSN

    1050-4729

  • e-ISSN

    2577-087X

  • Number of pages

    7

  • Pages from-to

    2620-2626

  • Publisher name

    IEEE Xplore

  • Place of publication

  • Event location

    Montreal

  • Event date

    May 20, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000494942301144